Abstract

Electric train system is a very large load for the power network. This load consumes a large amount of reactive power. In addition, it causes a massive unbalance to the network, which results in many problems such as voltage drops, high transmission losses, reduction in the transformer output ability, negative sequence current, mal-operation of protective relays, etc. In this paper, a novel real-time optimization approach is presented to adjust the static VAR compensator (SVC) for the traction system to realize two objectives; current unbalance reduction and reactive power compensation. A multi-objective optimization technique entitled non-dominated sorting genetic algorithm (NSGA-II) is used to fulfill the regarded objectives simultaneously. A comprehensive simulator has been designed for electric train network modeling that is able to adjust the parameters of SVC in an optimum manner at any time and under any circumstances. The results illustrate that the provided method can efficiently reduce the unbalancing in current as well as supply the demanded reactive power with acceptable precision.

Highlights

  • Nowadays, using railway networks, especially 2 × 25 kV autotransformer type electric traction systems, is increasing in some countries such as Spain, France, Belgium, Italy, Netherland, Russia, etc. [1]

  • It should be noted that λ1 and λ2 are generally determined by the managing parties of railway and electric network organizations

  • An Static VAR compensator (SVC) was considered in the traction substation to mitigate these problems

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Summary

Introduction

Nowadays, using railway networks, especially 2 × 25 kV autotransformer type electric traction systems, is increasing in some countries such as Spain, France, Belgium, Italy, Netherland, Russia, etc. [1]. Reduction in the co-phase traction power supply (CTPSS) capacity and improving the power quality of freight railways can be realized through suppression of negative-sequence current and compensation of reactive power. Combination of SVC and hybrid power quality conditioner (HPQC) was proposed in [19] to improve the power quality compensation capability in AC electrified railway systems In this technique, the reactive power demand of the load is met by SVC, while HPQC helps to supply the remaining required reactive power to mitigate the current unbalance problem. In [21], the authors adopted an integrated compensation technique to mitigate power quality problems encountered in railway power distribution networks In this approach, DQ decoupling technique was utilized to achieve a double closed-loop control strategy, by which harmonic current detection, as well as reactive power compensation, can be accomplished. Every part of the electric railway system is described as follows

Train Modeling
SVC Implementation
Network Current Balancing
Reactive Power Compensation
Multi-Objective Optimization
Problem Definition
Non-Dominated Sorting Genetic Algorithm
Simulation Results
Objective
Conclusions
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